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Lessons learned in modeling schizophrenic and depressed responsive virtual humans for training
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 8th international conference on Intelligent user interfaces table of contents
Miami, Florida, USA
SESSION: Full Technical Papers table of contents
Pages: 85 - 92  
Year of Publication: 2003
ISBN:1-58113-586-6
Authors
Robert C. Hubal  Technology Assisted Learning Division . RTI, Research Triangle Park, NC
Geoffrey A. Frank  Technology Assisted Learning Division . RTI, Research Triangle Park, NC
Curry I. Guinn  Technology Assisted Learning Division . RTI, Research Triangle Park, NC
Sponsors
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper describes lessons learned in developing the linguistic, cognitive, emotional, and gestural models underlying virtual human behavior in a training application designed to train civilian police officers how to recognize gestures and verbal cues indicating different forms of mental illness and how to verbally interact with the mentally ill. Schizophrenia, paranoia, and depression were all modeled for the application. For linguistics, the application has quite complex language grammars that captured a range of syntactic structures and semantic categories. For cognition, there is a great deal of augmentation to a plan-based transition network needed to model the virtual humans knowledge. For emotions and gestures, virtual human behavior is based on expert-validated mapping tables specific to each mental illness. The paper presents five areas demanding continued research to improve virtual human behavior for use in training applications


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Robert C. Hubal: colleagues
Geoffrey A. Frank: colleagues
Curry I. Guinn: colleagues